Hamid Ashfaq

Mr. Hamid Ashfaq is working as a Lecturer in the Computer Science department at Sir Syed CASE Institute of Technology. He did MS (Artificial Intelligence) from Air University, Islamabad in 2023.

His area of interest are Computer Vision, 3D Reconstruction, Artificial Intelligence, Digital Twin, Deep Learning, Digital Image Processing and Application Development.

Website: https://sites.google.com/view/hamidashfaq

Degree

MS (AI)
BSCS

Specialization

Computer Vision, 3D
CS

University

Air Univeristy Islamabad
Hitech University, Taxila

Year

2023
2017

Designation

Lecturer
Lab Engineer
Software Developer
Visiting Faculty
QMS Intern (AM QMS)

Company

Sir Syed CASE Institute of Technology, Islamabad
Sir Syed CASE Institute of Technology, Islamabad
Mechatronix
Allama Iqbal Open University (AIOU)
Pakistan Telecommunication Limited (PTCL)

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2023
2021
2020
2017
2017

To

Till Now
2023
2021
2020
2018

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Courses Taught

Data Structure And Algorithm
Digital Image Processing
Visual Programming
Operating System
Artificial Neural Network
Object Oriented Programming
Compiler Construction
Smart Application Development
Computer Vision

Key Publications (Journals & Books)

[J1] S. A. Chelloug, H. Ashfaq et al., “Real Objects Understanding Using 3D Haptic Virtual Reality for E-Learning Education,” Comput. Mater. Contin., vol. 74, no. 1, pp. 1607-1624, 2023. https://doi.org/10.32604/cmc.2023.032245.

[J2] H. Ashfaq et al., “3D point cloud generation to understand real object structure via graph convolutional networks,” Trait. Du Signal, vol. 41, no. 6, pp. 2935–2946, 2024. https://doi.org/10.18280/ts.410613.

Key Publications (Conferences & Workshops)

[C1] H. Ashfaq and A. Jalal, “GCN-Based Objects Understanding with 2D to 3D Point Cloud Reconstruction,” 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Bhurban, Murree, Pakistan, 2023, pp. 7-12, doi: 10.1109/IBCAST59916.2023.10712925.

[C2] H. Ashfaq and A. Jalal, “Deep Learning-based 3D Reconstructed Objects via Generative Models and Octree Structure,” 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Bhurban, Murree, Pakistan, 2023, pp. 238-243, doi: 10.1109/IBCAST59916.2023.10712837.

[C3] H. Ashfaq and A. Jalal, “3D Shape Estimation from RGB Data Using 2.5D Features and Deep Learning,” 2023 4th International Conference on Advancements in Computational Sciences (ICACS), Lahore, Pakistan, 2023, pp. 1-7, doi: 10.1109/ICACS55311.2023.10089663